Triple
T33661909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Time to Dance, No Time to Weep |
E862374
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Rumer Godden autobiographical series
The Rumer Godden autobiographical series is a multi-volume memoir collection in which the British author recounts her life, travels, and writing career with vivid, novelistic detail.
|
E2061092
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rumer Godden autobiographical series | Statement: [A Time to Dance, No Time to Weep, partOf, Rumer Godden autobiographical series]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rumer Godden autobiographical series Triple: [A Time to Dance, No Time to Weep, partOf, Rumer Godden autobiographical series]
Generated description
The Rumer Godden autobiographical series is a multi-volume memoir collection in which the British author recounts her life, travels, and writing career with vivid, novelistic detail.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f9f4498081908d965e87ee6fb5cc |
completed | May 3, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a362727f5348190a022bc72b82c87f2 |
completed | June 20, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_6a3628077de08190af490293002fb49d |
completed | June 20, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36290ab68081908c16a32eac142a8d |
completed | June 20, 2026, 5:45 a.m. |
Created at: May 1, 2026, 1:42 a.m.